




'''simple docstring'''




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float = 1 / sqrt(2  )  ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)

					snake_case_	=      (1 - _cos) / 2
					snake_case_	=      1 - _cos

					snake_case_	=      1 + alpha
					snake_case_	=      -2 * _cos
					snake_case_	=      1 - alpha

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float = 1 / sqrt(2  )  ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)

					snake_case_	=      (1 + _cos) / 2
					snake_case_	=      -1 - _cos

					snake_case_	=      1 + alpha
					snake_case_	=      -2 * _cos
					snake_case_	=      1 - alpha

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float = 1 / sqrt(2  )  ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)

					snake_case_	=      _sin / 2
					snake_case_	=      0
					snake_case_	=      -ba

					snake_case_	=      1 + alpha
					snake_case_	=      -2 * _cos
					snake_case_	=      1 - alpha

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float = 1 / sqrt(2  )  ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)

					snake_case_	=      1 - alpha
					snake_case_	=      -2 * _cos
					snake_case_	=      1 + alpha

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([ba, ba, ba]			, [ba, ba, ba]  )
					return filt
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float			, lowercase   :							float = 1 / sqrt(2  )			, ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)
					snake_case_	=      10 ** (gain_db / 40)

					snake_case_	=      1 + alpha * big_a
					snake_case_	=      -2 * _cos
					snake_case_	=      1 - alpha * big_a
					snake_case_	=      1 + alpha / big_a
					snake_case_	=      -2 * _cos
					snake_case_	=      1 - alpha / big_a

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt
def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float			, lowercase   :							float = 1 / sqrt(2  )			, ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)
					snake_case_	=      10 ** (gain_db / 40)
					snake_case_	=      (big_a + 1) - (big_a - 1) * _cos
					snake_case_	=      (big_a + 1) + (big_a - 1) * _cos
					snake_case_	=      (big_a - 1) - (big_a + 1) * _cos
					snake_case_	=      (big_a - 1) + (big_a + 1) * _cos
					snake_case_	=      2 * sqrt(lowercase_  ) * alpha

					snake_case_	=      big_a * (pmc + aaa)
					snake_case_	=      2 * big_a * mpc
					snake_case_	=      big_a * (pmc - aaa)
					snake_case_	=      ppmc + aaa
					snake_case_	=      -2 * pmpc
					snake_case_	=      ppmc - aaa

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt





def      __snake_case       (   lowercase   :							int			, lowercase   :							int			, lowercase   :							float			, lowercase   :							float = 1 / sqrt(2  )			, ):
					snake_case_	=      tau * frequency / samplerate
					snake_case_	=      sin(lowercase_  )
					snake_case_	=      cos(lowercase_  )
					snake_case_	=      _sin / (2 * q_factor)
					snake_case_	=      10 ** (gain_db / 40)
					snake_case_	=      (big_a + 1) - (big_a - 1) * _cos
					snake_case_	=      (big_a + 1) + (big_a - 1) * _cos
					snake_case_	=      (big_a - 1) - (big_a + 1) * _cos
					snake_case_	=      (big_a - 1) + (big_a + 1) * _cos
					snake_case_	=      2 * sqrt(lowercase_  ) * alpha

					snake_case_	=      big_a * (ppmc + aaa)
					snake_case_	=      -2 * big_a * pmpc
					snake_case_	=      big_a * (ppmc - aaa)
					snake_case_	=      pmc + aaa
					snake_case_	=      2 * mpc
					snake_case_	=      pmc - aaa

					snake_case_	=      IIRFilter(2  )
					filt.set_coefficients([aa, aa, aa]			, [ba, ba, ba]  )
					return filt













'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase        =							{"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase        =							["GLPNFeatureExtractor"]
  __lowerCAmelCase        =							["GLPNImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase        =							[
      "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "GLPNForDepthEstimation",
      "GLPNLayer",
      "GLPNModel",
      "GLPNPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

  __lowerCAmelCase        =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




